Descriptions:
The Cognitive Revolution hosts Rebecca Hinds — head of the Work AI Institute at Glean and author of the Work AI Index 2026 — for a wide-ranging conversation on how AI is actually being used inside large organizations, drawing on a survey of 6,000 digital workers. The findings reveal a striking disconnect between individual productivity gains and organizational outcomes.
The headline numbers are paradoxical: 87% of workers now use AI, 73% report increased productivity, and the average employee claims to save 13 hours per week. Yet only 13% say their organization is performing significantly better as a result. The report introduces two new concepts to explain the gap: “bot-sitting,” the 6.4 hours per week workers spend feeding AI context, debugging its outputs, and cleaning up its errors (roughly half of all reported time savings); and “bot-slop,” where 69% of surveyed workers admit to submitting AI-generated work they cannot fully explain or defend. A Stanford study finding that 41% of Y Combinator AI startups are automating tasks people would prefer to keep human adds further context to why engagement and retention are suffering in some organizations.
Hinds and host Nathan discuss practical responses: Glean’s enterprise knowledge graph as a way to reduce context-feeding overhead, using AI detection as a protective rather than punitive tool, and — perhaps most important — aligning AI deployment with work that employees find genuinely meaningful. The conversation is a grounding counterweight to the AI-bubble perspective, offering hard data on the messy reality of enterprise AI adoption at scale.
📺 Source: Cognitive Revolution “How AI Changes Everything” · Published June 10, 2026
🏷️ Format: Podcast
